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Categorical data: Difference between revisions
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(Created page with "===Introduction== Categorical data is a type of machine learning information that represents qualitative or nominal features rather than numerical or continuous values. It often represents attributes or characteristics of objects or events which cannot be quantified quantitatively. Categorical data plays an essential role in many machine learning tasks such as classification, clustering and regression; this article will give an extensive explanation of categorical data t...") |
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==Introduction== | |||
Categorical data is a type of machine learning information that represents qualitative or nominal features rather than numerical or continuous values. It often represents attributes or characteristics of objects or events which cannot be quantified quantitatively. Categorical data plays an essential role in many machine learning tasks such as classification, clustering and regression; this article will give an extensive explanation of categorical data types and applications within machine learning. | Categorical data is a type of machine learning information that represents qualitative or nominal features rather than numerical or continuous values. It often represents attributes or characteristics of objects or events which cannot be quantified quantitatively. Categorical data plays an essential role in many machine learning tasks such as classification, clustering and regression; this article will give an extensive explanation of categorical data types and applications within machine learning. | ||